This role provides an opportunity to apply advanced AI/ML techniques to large-scale clinical and pathology datasets, enabling the development of innovative diagnostic tools. The successful candidate will work closely with cross-functional teams to design, implement, and evaluate machine learning models that predict clinical outcomes and pathological features.
Requirements
- PhD in Data Science, Machine Learning, Applied Math, or a related field.
- 5+ years of experience in a data or applied scientist role.
- Expertise in Python (or equivalent) for AI/ML development, including data manipulation and preparation.
- Experience with statistical analysis, survival modeling, and multivariate regression with interaction effects.
- Proficiency in cloud computing environments (AWS preferred).
- Strong communication skills with attention to detail when summarizing and presenting findings.
- Ability to work independently and collaboratively in a fast-paced, research-driven environment.
- Eagerness to learn new technologies and adapt to evolving project requirements.
- Preferred: knowledge of cancer biology, experience with real-world clinical data, and familiarity with regulated diagnostic environments (LDT/IVD)
Benefits
- Competitive base salary ($130,000 – $171,000 USD) and potential discretionary bonuses or equity.
- Health insurance (medical, dental, vision) and retirement plans.
- Flexible remote-friendly work environment with optional on-site collaboration spaces.
- Opportunities for professional development and career growth.
- Inclusive, mission-driven culture recognized as a Certified Great Place to Work®.